Evidence map›Paper›PMID 27900448›Full record

ReviewCurrent microbiology2017

The Archaeal Signal Recognition Particle: Present Understanding and Future Perspective.

Sayandeep Gupta, Mousam Roy, Abhrajyoti Ghosh

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Archaeal RNA processing and regulation: expanding the functional landscape.Microbiology and molecular biology reviews : MMBR · 2025
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Sayandeep GuptaDepartment of Biochemistry, Bose Institute, Centenary Campus, P 1/12, C. I. T. Road, Scheme - VIIM, Kolkata, 700054, West Bengal, India.
Mousam RoyDepartment of Biochemistry, Bose Institute, Centenary Campus, P 1/12, C. I. T. Road, Scheme - VIIM, Kolkata, 700054, West Bengal, India.
Abhrajyoti GhoshDepartment of Biochemistry, Bose Institute, Centenary Campus, P 1/12, C. I. T. Road, Scheme - VIIM, Kolkata, 700054, West Bengal, India. abhrajyoti.ghosh@jcbose.ac.in.
Bose Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The signal recognition particle (SRP) and its receptor constitute universally conserved and essential cellular machinery that controls the proper membrane localization of nascent polypeptides with the transmembrane domain. In the past decade, there has been an immense advancement in our understanding of this targeting machine in all three domains of life. A significant portion of such progress came from the structural analysis of archaeal SRP components. Despite the availability of structural insights from different archaeal SRP components, little is known about protein translocation in this domain of life compared to either bacteria or eukaryotes. One of the primary reasons being limited availability of the genetic and cell biological tools in archaea. In the present review, an attempt has been made to explore the structural information available for archaeal SRP components to gain insights into the protein translocation mechanism of this group of organisms. Besides, many exciting avenues of archaeal research possible using the recently developed genetic and cell biological tools for some species have been identified.

Indexed as

ArchaeaArchaeal ProteinsMembrane ProteinsProtein TransportSignal Recognition ParticleArchaeal ProteinsMembrane ProteinsSignal Recognition Particle

Identifiers

PMID27900448
OpenAlexW2559125083

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.